文件名称:Techniques-of-matching-images
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Variance map of an image is calculated by taking a square window of a set size around a center pixel, and calculating the variance of the values of the pixels.
Census Transform is a form of non-parametric local transform (i.e. relies on the relative ordering of local intensity values, and not on the intensity values themselves) used in image processing to map the intensity values of the pixels within a square window to a bit string, thereby capturing the image structure [1]. The centre pixel’s intensity value is replaced by the bit string composed of set of boolean comparisons such that in a square window, moving left to right,
Census Transform is a form of non-parametric local transform (i.e. relies on the relative ordering of local intensity values, and not on the intensity values themselves) used in image processing to map the intensity values of the pixels within a square window to a bit string, thereby capturing the image structure [1]. The centre pixel’s intensity value is replaced by the bit string composed of set of boolean comparisons such that in a square window, moving left to right,
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下载文件列表
Techniques of matching images/Census Transform in Image Processing.m
Techniques of matching images/Compute Variance Map of an Image.m
Techniques of matching images/MATLAB Code-NCC Right to Left Matching.m
Techniques of matching images/MATLAB Code-SHD Right to Left Matching.m
Techniques of matching images/MATLAB Code-SSD Right to Left Matching.m
Techniques of matching images
Techniques of matching images/Compute Variance Map of an Image.m
Techniques of matching images/MATLAB Code-NCC Right to Left Matching.m
Techniques of matching images/MATLAB Code-SHD Right to Left Matching.m
Techniques of matching images/MATLAB Code-SSD Right to Left Matching.m
Techniques of matching images
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